Proving Yourself: Addressing the Refugee Identity Crisis with Bayesi-Chain Probability & Digital Footprints

Juanita Blue, J. Condell, T. Lunney
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引用次数: 4

Abstract

In the last decade the total global number of displaced refugees has increased significantly and consistently. This has been further inflated by 5 million Syrians who were externally displaced in 2017. Often these individuals flee their home countries without identification documentation and thus find it extremely difficult to verify their true identities when they attempt to reconstruct their lives in their new homelands. The requirement for identification documentation is a constant element of daily life within modern societies. This functions to both protect the rights of individuals and also the entities and organisations they interact with. The need to provide identification documentation can present significant challenges for displaced people trying to reconstruct their lives. In the digital age where individuals are creating large digital footprints, online accounts and activities can prove to be a valuable source of information that may contribute to ‘proof’ that an asserted identity is genuine. Online social contextual data - or ‘Digital identities' - pertaining to real people are built over time and bolstered by associated accounts, relationships and attributes. This data is difficult to fake and therefore may have the capacity to provide proof of a ‘real’ identity. This paper outlines the design and initial development of a solution that could potentially allow refugees who are resettling to build a digital identity document over time as they settle in a new land, without the need for multiple sources of traditional identity documentation. This solution utilizes data sourced from an individual's digital footprint to assess the likelihood that it pertains to a ‘real’ identity. This is achieved through application of machine learning and Bayesian probabilistic modelling techniques. Where identity sources are considered reliable, a secure and intelligent digital identification artefact will be created. This artefact will emulate a blockchain-inspired ledger and may subsequently be used to prove identity in place of traditional paper documentation.
证明你自己:用贝叶斯链概率和数字足迹解决难民身份危机
在过去十年中,全球流离失所难民的总人数显著而持续地增加。2017年有500万叙利亚人在国外流离失所,这进一步加剧了这一数字。这些人往往在没有身份证明文件的情况下逃离本国,因此,当他们试图在新的家园重建生活时,很难核实他们的真实身份。对身份证件的要求是现代社会日常生活中一个不变的因素。这既可以保护个人的权利,也可以保护与他们互动的实体和组织的权利。提供身份证明文件的需要可能给试图重建生活的流离失所者带来重大挑战。在数字时代,个人正在创造大量的数字足迹,在线账户和活动可以被证明是一个有价值的信息来源,可能有助于“证明”所断言的身份是真实的。与真人相关的在线社交背景数据——或“数字身份”——是随着时间的推移而建立起来的,并得到相关账户、关系和属性的支持。这些数据很难伪造,因此可能有能力提供“真实”身份的证明。本文概述了一种解决方案的设计和初步开发,该解决方案可能允许重新安置的难民随着时间的推移在新的土地上定居,而不需要多种传统身份证件来源。该解决方案利用来自个人数字足迹的数据来评估其属于“真实”身份的可能性。这是通过应用机器学习和贝叶斯概率建模技术来实现的。在身份来源被认为是可靠的地方,将创建一个安全和智能的数字识别人工制品。这个人工制品将模拟一个受区块链启发的分类账,随后可能被用来证明身份,取代传统的纸质文件。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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